Face-research-list

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CFP: IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2017)

by abhinav dhall

[Apologies for cross-postings] Call for papers ----------------------------------------------- IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2017) Location: New Delhi, India Dates: February 22-24 2017 http://ieee-biometrics.org/isba2017/ ----------------------------------------------- ISBA is a unique conference series initiated by the IEEE Biometrics Council and its third edition will be held in New Delhi, India. This conference is intended to meet the emerging need for a winter meeting, especially for the Asian participants where the introduction of large scale biometrics programs have attracted significant increase in research and development efforts. It will be a forum that brings together experts in biometrics, security, and human behavior to consider research issues and solutions that are robust, comprehensive, and broader than currently considered in each of these individual research areas. This conference serves to provide a new form for such broad areas defining human side of security and user behavior as well as social influence in the biometrics security. Topics of interest include, but are not limited to: • Anti-Spoofing, Behavioral Biometrics, Biometric System Evaluation, Biometrics in Law Enforcement, Cybercrime • De-identification, Detection and Tracking, Device Identification, Digital Forensics • Human Behavior Analysis, Human Activity Understanding, Identity Management, Information Security, Person Re-identification • Performance Evaluation, Privacy-preserving Computing, Predictive Analytics, Single and Multi-modal Biometrics • Social Biometrics, Social and Criminal Network Inference, Surveillance Identification, Template Protection and Data Privacy • Usability and Performance, User-centric Biometric Security Submitted papers may not be accepted or under review elsewhere. Submissions may be up to eight pages in conference format (double blind reviewing). Papers accepted and presented at ISBA 2017 will be published in conference proceedings and made available in IEEE Xplore library. Important dates Submission deadline: October 10, 2016 Decision to authors: December 10, 2016 Camera ready submission: December 20, 2016 Conference: February 22-24, 2017 General Chair Rama Chellappa (University of Maryland, USA) General Co-chairs Ajay Kumar (PolyU, Hongkong) Richa Singh (IIIT-Delhi, India) Program Co-chairs M. Ehsan Hoque (University of Rochester, USA) Nitesh Saxena (University of Alabama at Birmingham, USA) Vishal M. Patel (Rutgers University, USA) Mayank Vatsa (IIIT-Delhi, India) Publication Chair Soma Biswas (Indian Institute of Science, India) Finance Chair Angshul Majumdar (IIIT-D, India) Publicity Chair Abhinav Dhall (University of Waterloo, Canada) Industry Liaison Sameer Shah (HCL, India) http://ieee-biometrics.org/isba2017/

8 years, 10 months

PhD/Postdoc positions in Neuroscience of Autism/Dyslexia, Max Planck Institute, Leipzig

by Katharina von Kriegstein

Applications are welcomed for two researcher positions at doctoral or postdoctoral level at the Max Planck Institute for Human Cognitive and Brain Sciences (MPI-CBS) in Leipzig, Germany, in the Neural Mechanisms of Human Communication group led by Katharina von Kriegstein. PhD student or Postdoctoral Position in Neuroscience of Developmental Dyslexia: The objective of the research project is to use functional and structural magnetic resonance imaging (MRI) and behavioural intervention training to understand the role of auditory and visual sensory processing in populations with developmental dyslexia. Further information on the position can be found here: http://www.cbs.mpg.de/489916/job_full_offer_10626437?c=7390 PhD student or Postdoctoral position in Neuroscience of Autism Spectrum Disorder: The objective of the research project is to use high-resolution functional and structural magnetic resonance imaging (MRI) and behavioural tests to understand the role of auditory and visual sensory processing in populations with Autism Spectrum Disorder. Further information on the position can be found here: http://www.cbs.mpg.de/490195/job_full_offer_10626459?c=7390 Both positions are funded by an ERC-Consolidator grant. --- Katharina von Kriegstein Max Planck Research Group Leader Max Planck Institute for Human Cognitive and Brain Sciences Stephanstr. 1A, 04103 Leipzig, Germany Professor of Cognitive and Clinical Neuroscience Humboldt University of Berlin Rudower Chaussee 18, 12489 Berlin, Germany Phone +49 (0) 341-9940-2476 Fax +49 (0) 341-9940-2448 http://www.cbs.mpg.de/independent-research-groups/human-communication

8 years, 10 months

Face database with Oriental and Occidental faces

by Joscha Stecker

Dear all, we're searching for a face database with stimuli including ideally both - a) faces from the Middle East/ Oriental looking faces and - b) faces from Western society / Occidental looking faces. Some more charachteristics that might be helpfull for us: - more than 20 males & 20 females in each group a) and b) - standardized photo-sets with minimal variation of background and orientations - neutral expression and/or natural variation of emotion and/or different emotions for each face - licence agreement allowing the use for non-profit academic research - the actual origin (Occidental/ Oriental) of the people showed in the photos - any further data on face characteristics, external face ratings or characteristics of the targets shown would be great (albeit not a prerequisite) Within a project on the psychology of forced migration (University of Muenster, Germany; Prof. Mitja Back), we're planning to examine personality perceptions based on photos of Oriental and Occidental faces. Therefore we're glad for every idea concerning a face database including the above characteristics. Thanks in advance and best regards, Joscha Stecker

8 years, 10 months

I am looking for face databases to create average faces

by Christophe Bousquet

Dear Members of the mailing list, I am about to start a project on face recognition in humans, and a part of this project requires to create different average faces (variation according to age and ethnic group). In order to increase the representativity of our average faces, I am looking for databases of faces with known characteristics (at least date of birth of the participant and date of picture taken, as well as age and ethnic group). Ideally, the pictures would have been taken in front of a uniform background. Many thanks in advance for your kind help, Christophe Bousquet Sent from [ProtonMail](https://protonmail.ch), encrypted email based in Switzerland.

8 years, 11 months

2nd CFP: Third Workshop on Computer Vision for Affective Computing @ ACCV 2016

by abhinav dhall

Apologies for multiple postings --------------------------------------------------------------------------------------------------- Third Workshop on Computer Vision for Affective Computing (CV4AC) --------------------------------------------------------------------------------------------------- Asian Conference on Computer Vision (ACCV) 2016, Taiwan https://sites.google.com/site/thirdcv4ac/ Affective computing deals with analyzing the affect using different modalities. Computer vision undoubtedly is one of the primary modalities in affective computing. Given the recent advancement in computer vision areas such as face and facial parts detection, body parts detection and scene analysis, it has opened up avenues for analyzing the affective state of subjects and the affect conveyed by scenes. This workshop invites researchers to submit their original work proposing methods inferring affect using computer vision. The workshop focusses on the `in the wild' aspect of affect recognition. --------------------------------------------------------------------------------------------------- Scope of the papers: Image and Video based facial expression analysis Emotion recognition in the wild Pose estimation for affect analysis Scene recognition for affect analysis Gesture recognition for affect analysis Gaze and attention for affect analysis Saliency detection for affect analysis Activity recognition for affect analysis Fiducial points detection Temporal models for face analysis Spontaneous affect databases Arts and media Applications in entertainment, healthcare and games --------------------------------------------------------------------------------------------------- Important dates Paper submission: August 15 Acceptance notice: September 10 Camera read due: September 17 --------------------------------------------------------------------------------------------------- Organisers Abhinav Dhall, University of Waterloo Roland Goecke, University of Canberra/Australian National University O. V. Ramana Murthy , Amrita Vishwa Vidyapeetham, India Jesse Hoey, University of Waterloo Nicu Sebe, University of Trento For any queries please contact: abhinav.dhall(a)uwaterloo.ca

9 years

[CFP] IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2017)

by abhinav dhall

[Apologies for cross-postings] Conference announcement ----------------------------------------------- IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2017) Location: New Delhi, India Dates: February 23-24 2017 http://ieee-biometrics.org/isba2017/ ----------------------------------------------- ISBA is a unique conference series initiated by the IEEE Biometrics Council and its third edition will be held in New Delhi, India. This conference is intended to meet the emerging need for a winter meeting, especially for the Asian participants where the introduction of large scale biometrics programs have attracted significant increase in research and development efforts. It will be a forum that brings together experts in biometrics, security, and human behavior to consider research issues and solutions that are robust, comprehensive, and broader than currently considered in each of these individual research areas. This conference serves to provide a new form for such broad areas defining human side of security and user behavior as well as social influence in the biometrics security. Topics of interest include, but are not limited to: • Anti-Spoofing, Behavioral Biometrics, Biometric System Evaluation, Biometrics in Law Enforcement, Cybercrime • De-identification, Detection and Tracking, Device Identification, Digital Forensics • Human Behavior Analysis, Human Activity Understanding, Identity Management, Information Security, Person Re-identification • Performance Evaluation, Privacy-preserving Computing, Predictive Analytics, Single and Multi-modal Biometrics • Social Biometrics, Social and Criminal Network Inference, Surveillance Identification, Template Protection and Data Privacy • Usability and Performance, User-centric Biometric Security Submitted papers may not be accepted or under review elsewhere. Submissions may be up to eight pages in conference format (double blind reviewing). Papers accepted and presented at ISBA 2017 will be published in conference proceedings and made available in IEEE Xplore library. Important dates Submission deadline: October 10, 2016 Decision to authors: December 10, 2016 Camera ready submission: December 20, 2016 Conference: February 23-24, 2017 General Chair Rama Chellappa (University of Maryland, USA) General Co-chairs Ajay Kumar (PolyU, Hongkong) Richa Singh (IIIT-Delhi, India) Program Co-chairs M. Ehsan Hoque (University of Rochester, USA) Nitesh Saxena (University of Alabama at Birmingham, USA) Vishal M. Patel (Rutgers University, USA) Mayank Vatsa (IIIT-Delhi, India) Publication Chair Soma Biswas (Indian Institute of Science, India) Finance Chair Angshul Majumdar (IIIT-D, India) Publicity Chair Abhinav Dhall (University of Waterloo, Canada) Industry Liaison Sameer Shah (HCL, India) http://ieee-biometrics.org/isba2017/

9 years

Funded Face Processing PhD & Graduate Tutor Opportunity

by Natalie Butcher

Dear list: A Funded PhD position is available with Dr Natalie Butcher (Teesside University, UK) on a project entitled: differences in processing and recognising static and moving faces. The position is one of 25 Graduate Tutor roles which will support the post holder to study for a PhD whilst gaining teaching experience. These posts are salaried for up to 4 years (£20,989 - £25,023) and all associated fees are also covered as part of the role. The proposed research seeks to investigate the individual differences factors that influence the extent to which a viewer benefits from the availability of facial motion information when learning and recognising faces. The work will include execution of experimental psychological studies to explore the relationship between a range of individual differences factors and the motion advantage, within typical and atypical populations. Deadline for application: July 31, 2016 If you know of any suitable candidates who are interested in conducting a PhD in this field can you please consider sharing this information with them. For more information about the graduate tutor role and how to apply see: https://recruitment.tees.ac.uk/itrentlive_webrecruitment/wrd/run/etrec107gf… For more information about the range of projects graduate tutors can select their PhD topic from including this project see: http://www.tees.ac.uk/sections/research/projects2.cfm For informal enquiries, please feel free to contact me by email (n.butcher(a)tees.ac.uk) Best wishes, Natalie Dr Natalie Butcher Senior Lecturer in Psychology School of Social Sciences, Business & Law Teesside University TS13BX Tel: +44(0)1642 342385 Twitter: @TeesPysch @Dr_N_Butcher

9 years

Intracranial EEG Postdoctoral Position in Pittsburgh, USA

by Ghuman, Avniel

Postdoctoral Position, Pittsburgh, Pennsylvania, USA Applications are invited for an NIH funded postdoctoral position combining eye tracking and intracranial EEG recordings in humans to study the neural basis of face recognition, object recognition, and social and affective perception, at the University of Pittsburgh, USA. The research will focus on understanding the dynamic neural code that underlies the recognition of faces, bodies, objects, facial expressions, and other social and affective stimuli and how this information guides, and is guided by, eye movements. Of particular interest is how this information is coded in interactive neural circuits at the level of large-scale brain networks. The neural data will primarily be local field potentials/ event related potential from intracranial surface electrodes (electrocorticography, ECoG), cortical depth electrodes, and subcortical depth electrodes in humans in conjunction with eye tracking. There is also the potential for studies involving direct cortical stimulation to assess how neural modulation alters visual perception. The ideal applicant would hold a Ph.D. in Neuroscience, Psychology, Computer Science, Mathematics, Statistics, Engineering or a related field. Strong technical, computational, and statistical skills are required. Experience with combining eye tracking and electrophysiological data is required (for example, scalp EEG and eye tracking). Applicants should have a strong track record of publication. Pittsburgh is consistently ranked the most livable city in America and the neuroscientific community here, particularly at the University of Pittsburgh and Carnegie Mellon University, is both very strong and collaborative. Interested applicants should send a letter of interest, a CV, and the names and contact information for 3 researchers who can provide a recommendation. For further information or to submit an application, please contact Avniel Ghuman, Ph.D. at ghumana(a)upmc.edu and see our website at www.lcnd.pitt.edu<http://www.lcnd.pitt.edu>

9 years, 1 month

CFP: Emotion Recognition in the Wild challenge 2016

by abhinav dhall

Apologies for cross-postings Call for challenge participation Fourth Emotion Recognition in the Wild (EmotiW) Challenge 2016 @ ACM International Conference on Multimodal Interaction 2016, Tokyo https://sites.google.com/site/emotiw2016/ --------------------------------------------------------------------- The Emotion Recognition in the Wild 2016 Challenge consists of multimodal classification challenges, which mimics real-world conditions. Traditionally, emotion recognition has been performed on laboratory controlled data. While undoubtedly worthwhile at the time, such lab controlled data poorly represents the environment and conditions faced in real-world situations. With the increase in the number of video clips online, it is worthwhile to explore the performance of emotion recognition methods that work ‘in the wild’. There are two sub-challenges: audio-video based emotion recognition in videos and group-level emotion recognition in the images (new). Timeline: Train and val data available: shared! Test data available: 30th June 2016 Last date for uploading the results: 15th July 2016 Paper submission deadline: 25th July 2016 Notification of acceptance: 25th August 2016 Camera-ready: September 2016 Organisers Abhinav Dhall, Roland Goecke, Jyoti Joshi and Tom Gedeon Contact emotiw2014(a)gmail.com

9 years, 1 month

PhD position, University of Lorraine, France, facial expression decoding

by bruno rossion

PhD position (urgent): Understanding the dynamic of facial expression decoding mechanisms by means of an electrophysiologic approach by fast periodic visual stimulation Being able to quickly read emotional expression from the face is critical for human social interactions. Six facial expressions – fear, disgust, sadness, happiness, angry, surprise – also known as the ‘basic emotions’ have been suggested to be universally recognized (Ekman & Friesen, 1975). Studies on facial emotional processing have produced evidence for impairments in neurological and psychiatric populations, such as Autism Spectrum Disorder (ASD). However, patients may often compensate on explicit behavioral tasks and fail on implicit face processing tasks, which suggests that they rely less on automatic emotion processing, but employ cognitive, language-based or perceptual compensatory mechanisms. This PhD proposal will focus on understanding the decoding of facial expression in typical human population by means of the rapid presentation of brief expression changes and the recording of implicit measures with electroencephalography (EEG). Specifically, we will rely on a fast periodic visual stimulation approach (FPVS) during EEG recording. Intracerebral recordings of patients suffering from epilepsy refractory to medication with the same paradigms will aim at understanding the neural basis of facial expression decoding. The PhD will be supervised by S. Caharel & J. Lighezzolo-Alnot at the Laboratory INTERPSY at the University of Lorraine in Nancy, France (http://interpsy.univ-lorraine.fr/content/stéphanie-caharel <http://interpsy.univ-lorraine.fr/content/st%8Ephanie-caharel>), and L. Maillard at the CHU of Nancy for intracerebral recording studies. Studies with the FPVS approach in EEG will be performed in close collaboration with B. Rossion and M. Dzhelyova at the University of Louvain in Belgium (http://face-categorization-lab.webnode.com/) <http://face-categorization-lab.webnode.com/)>. The position involves a temporary appointment for 3 years, with a starting date on September/October 2016. Applications should be completed ideally by june 20th. For more information, please contact: Stéphanie Caharel by email: stephanie.caharel(a)univ-lorraine.fr <mailto:stephanie.caharel@univ-lorraine.fr> Candidate requirements We will consider highly motivated candidates with a degree in neuroscience, neuropsychology, biomedical sciences, natural sciences, mathematics, physics etc. A high level of written and spoken English is required. The ideal candidate will have good programming skills for the setting up and adaptation of stimulation paradigms and data analysis, experience with neurophysiological techniques such as EEG, and a background in cognitive neuroscience. Knowledge of the topic of research – face perception - is an asset. Supervision - Stéphanie Caharel, Associate Professor of Neuropsychology, Lab Interpsy (EA 4432), University of Lorraine (stephanie.caharel(a)univ-lorraine.fr <mailto:stephanie.caharel@univ-lorraine.fr>) - Joëlle Lighezzolo-Alnot, Professor of Clinical Psychology, Lab Interpsy (EA 4432), University of Lorraine (joelle.lighezzolo(a)univ-lorraine.fr <mailto:joelle.lighezzolo@univ-lorraine.fr>) - Louis Maillard, Pr. of Neurology, University Hospital of Nancy, CRAN UMR CNRS 7039, University of Lorraine (l.maillard(a)chru-nancy.fr <mailto:l.maillard@chru-nancy.fr>) Main Laboratory: Lab of Psychology “InterPsy” (EA 4432) – University of Lorraine: http://interpsy.univ-lorraine.fr <http://interpsy.univ-lorraine.fr/> Other Labs associated: CRAN (UMR CNRS 7039) - University of Lorraine; Face Categorization Lab, UCLouvain, Belgium (http://face-categorization-lab.webnode.com/ <http://face-categorization-lab.webnode.com/>) To apply, please send application letter, CV, academic results (master’s degree) and two letters of recommendation before June 20, 2016 to the ED 78 Stanislas doctoral school and to Stéphanie Caharel (stephanie.caharel(a)univ-lorraine.fr) <mailto:stephanie.caharel@univ-lorraine.fr)> (with ‘PhD application 2016’ as subject line)

9 years, 1 month

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Face-research-list